The IDSC Advanced Computing team consults on storage solutions, hardware, installation, systems administration, storage maintenance, account maintenance, and end-user support. They can also provide design and implementation of high-performance solutions, scientific programming, parallel code profiling, and code optimization.
IDSC Advanced Computing designs and analyzes high-performance computing (HPC) systems for big-data-system users from a variety of application areas, and has expertise in developing massively parallel processors, energy, distributed computing, software, and databases. The team is also exploring and developing new parallel-computing paradigms and architectures for researchers who need to process, store, retrieve, analyze, and understand massive data sets, where computation and storage breakthroughs are essential.
With all classes of research, IDSC Advanced Computing strives for synergy and interaction. Over the past decade, the University’s Advanced Computing platform has grown the HPC cyberinfrastructure from nothing to a regional advanced-computing environment supporting 1,700+ users and a very large state-of-the-art data storage system (well over 10 PB current live data).
The U’s latest acquisition, Triton, a state-of-art IBM power9 system was rated one of the Top 5 Academic Institution Supercomputers in the US for 2019, and is UM’s first GPU-accelerated high-performance computing (HPC) system, representing a completely new approach to computational and data science. Built using IBM Power Systems AC922 servers, this system was designed to maximize data movement between the IBM POWER9 CPU and attached accelerators like GPUs. Triton is designed to accommodate traditional HPC, interactive Data Science, Big Data AI, and Machine Learning workloads. This represents a quantum leap in the University’s computing infrastructure, and it is designed to address the ever-expanding needs of data-driven research.
The University’s first Supercomputer Pegasus, an IBM IDataPlex system, was ranked at number 389 on the November 2012 Top 500 Supercomputer Sites list. Pegasus provided over 90 million CPU/ hours/year to research projects, with a utilization rate near 85%.
AI and Data Science Capabilities
- AI/Machine Learning Platform/Algorithm Selection and Implementation
- Cybersecurity End-to-End Solution Design, Implementation, and Support
- Data Engineering Identifying, integrating, Cleaning, ETL, Processing
- Data Management Pipeline Services from Ingest to Presentation and Preservation
- Research and Predictive Analytics Audio Research, IoT, Environmental Monitoring, Security Services
- Scientific Programming Code Porting, Optimization, Parallelization
- Advanced Systems Services Self-Serve to Concierge Service, Development to 7×24 Non-Stop Operations, On-Premises and Cloud
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Tags: Advanced Computing, Advanced Computing services, University of Miami Advanced Computing, University of Miami supercomputer